DOE OSTI · 2538016
Concavity-based local erosion and sphere-size-based local dilation applied to lithium-ion battery electrode microstructures for particle identification
Abstract
Performance metrics of lithium-ion batteries can be extracted from the analysis of electrode microstructures nanoscale imaging. The characterization workflow can involve a challenging particle identification, or instance segmentation, step. In this work, we propose a new identification method based on an original transformation: a sphere-size-based local dilation followed by a concavity-based local erosion, that is local morphology closing. The new transformation is much more efficient than the global morphology closing, with correct identification achieved with only 1.7 % dilation volume and 2.6 % erosion volume on a test geometry, compared to 39.2 % and more than 50 %, respectively, with its global counterpart. The new method has been then benchmarked versus other identification algorithms (watershed and pseudo coulomb repulsive field) on a real electrode microstructure with equal or better segmentation achieved.
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Usseglio-Viretta, Francois L.E. [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000275598874), Gasper, Paul [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000188349458), Prakash, Nina [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000166530694), Popeil, Melissa [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:000000022039855X), Smith, Kandler [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:0000000170110377), Finegan, Donal P. [National Renewable Energy Laboratory (NREL), Golden, CO (United States)] (ORCID:000000034633560X). 2025-02-16. Concavity-based local erosion and sphere-size-based local dilation applied to lithium-ion battery electrode microstructures for particle identification. https://doi.org/10.1016/j.commatsci.2025.113758
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